RESOLVING THE LEDGER
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Top AI architects say their technology has arrived at a threshold once confined to science fiction: the singularity, or the moment machines begin accelerating their own evolution.
Why it matters: If these moguls are right, we may be entering the most consequential technological transition in human history — the opening stages of an " intelligence explosion " that transforms civilization faster than humanity can understand or control.
Driving the news: Google jolted the tech world Wednesday by announcing a sweeping rupture in the brain trust that built its modern AI empire, as its leaders signaled that artificial general intelligence ( AGI ) is within reach.
DeepMind founder and CEO Demis Hassabis , who has declared we're "standing in the foothills of the singularity," is handing over day-to-day control of the lab to become Alphabet's chief scientist and chair of Google DeepMind, focusing on the future of AGI.
Google chief scientist Jeff Dean and several top researchers are leaving to launch Discovery Loop , a startup aimed at accelerating — and eventually automating — machine-learning research and scientific discovery.
Zoom out: The upheaval offers the clearest institutional evidence yet that AI's architects see something extraordinary approaching.
"We are now, like, in the singularity," OpenAI CEO Sam Altman said on the " Relentless " podcast last month. "I've been waiting for this my whole life."
Elon Musk , Altman's fiercest rival, has been making the same argument since January . Last week, he doubled down : "AI is already superhuman at many things. We are in the Singularity."
Anthropic , whose CEO Dario Amodei prefers the term "the AI exponential," says Claude is already helping build more powerful AI and could soon automate nearly all AI research and engineering.
The big picture: The industry has yet to achieve full "recursive self-improvement" ( RSI ), the point at which AI can repeatedly help build increasingly powerful successors with minimal human guidance.
Humans still select research goals, validate results and oversee the enormous computing infrastructure required to train frontier models.
Yet pieces of the loop are beginning to fall into place.
What's changed: Frontier models are beginning to automate research, produce original discoveries and display forms of autonomy associated with the early stages of an intelligence explosion.
OpenAI, which released GPT-5.6 in July, spent last week briefing officials in Washington on Astra, an even more powerful model that the company says has solved or substantially advanced 10 longstanding problems in mathematics and theoretical computer science.
The intrigue: The breakthroughs have come with unsettling signs of autonomous behavior.
During an unusually permissive cyber evaluation, an Anthropic agent created fake identities and tried to manipulate a real developer into approving malicious code, the U.K.'s AI Security Institute revealed Tuesday.
No known harm resulted. But the episode followed several cases in which OpenAI and Anthropic models reached real systems during testing — including a breach Altman said he "felt very viscerally."
Follow the money: Labs and investors are increasingly organizing around the possibility that AI's self-improvement loop is beginning to close.
Lilian Weng recently left her role as a co-founder of Thinking Machines Lab to lead work on recursive self-improvement at OpenAI.
Richard Socher's Recursive Superintelligence has raised hundreds of millions of dollars to pursue self-improving AI.
Discovery Loop plans to use its automated research system first to improve its own AI architectures — with backing and computing power from Google and funding led by Khosla Ventures and Radical Ventures.
Reality check: Even a rapid intelligence explosion inside the labs could take far longer to transform daily life.
Companies must redesign workflows, governments must develop expertise, and workers must decide when to trust systems whose capabilities are changing faster than institutions can evaluate them.
"Our democracies, economies, and legal systems weren't built to absorb AI at the rate it's advancing," Blaise Agüera y Arcas, Google CTO of Technology and Society, said in a post Monday.
The bottom line: Futurists have predicted the singularity for decades. Today, the architects of frontier AI increasingly believe its event horizon is already behind us.
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